Received: from [192.227.171.46] (port=57668 helo=qpfl4ee.theultimateswing.us) by stodi.digitalkingdom.org with esmtp (Exim 4.80.1) (envelope-from ) id 1XteOL-0008LT-Ho for lojban@lojban.org; Wed, 26 Nov 2014 07:20:31 -0800 Received: by 01b14800.qpfl4ee.theultimateswing.us (amavisd-new, port 9733) with ESMTP id 01GEIRLLRQB148SQTTKGYC00; for ; Wed, 26 Nov 2014 08:18:22 -0700 Date: Wed, 26 Nov 2014 08:18:22 -0700 Content-Transfer-Encoding: 8bit Message-ID: <173313428393787173384725230435766@qpfl4ee.theultimateswing.us> From: "Mike Bender" To: Content-Language: en-us MIME-Version: 1.0 Content-Type: text/html; charset="UTF-8" Subject: Most Efficient Golf Swing Attainable X-Spam-Score: 2.5 (++) X-Spam_score: 2.5 X-Spam_score_int: 25 X-Spam_bar: ++ X-Spam-Report: Spam detection software, running on the system "stodi.digitalkingdom.org", has NOT identified this incoming email as spam. The original message has been attached to this so you can view it or label similar future email. If you have any questions, see @@CONTACT_ADDRESS@@ for details. Content preview: I recently opened the doors on a revolutionary new program, and it has already caused quite a stir. You see, I analyzed the swing of the most accurate golfer in the world – a shaft-testing robot owned by the True Temper golf company. [...] Content analysis details: (2.5 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 0.0 URIBL_BLOCKED ADMINISTRATOR NOTICE: The query to URIBL was blocked. See http://wiki.apache.org/spamassassin/DnsBlocklists#dnsbl-block for more information. [URIs: theultimateswing.us] 1.2 URIBL_JP_SURBL Contains an URL listed in the JP SURBL blocklist [URIs: theultimateswing.us] 1.7 URIBL_DBL_SPAM Contains an URL listed in the DBL blocklist [URIs: theultimateswing.us] -0.0 RCVD_IN_MSPIKE_H4 RBL: Very Good reputation (+4) [192.227.171.46 listed in wl.mailspike.net] -0.0 SPF_HELO_PASS SPF: HELO matches SPF record -0.0 SPF_PASS SPF: sender matches SPF record 0.0 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar or identical to background 0.0 HTML_MESSAGE BODY: HTML included in message -1.9 BAYES_00 BODY: Bayes spam probability is 0 to 1% [score: 0.0000] 0.7 MIME_HTML_ONLY BODY: Message only has text/html MIME parts 0.8 RDNS_NONE Delivered to internal network by a host with no rDNS -0.0 RCVD_IN_MSPIKE_WL Mailspike good senders I recently opened the doors on a revolutionary new program,
and it has already caused quite a stir.

You see, I analyzed the swing of the most accurate golfer in
the world – a shaft-testing robot owned by the True Temper
golf company.

This robot can hit every ball 325 yards, to an accuracy of within
6 inches. It’s flat out astonishing to see…

… and when I saw it for the first time, I immediately realized
what most of us golfers were doing wrong
:

We have too many moving parts in our swing. We end up with
an inefficient (i.e. ineffective) swing because all those moving
parts are working against each other
.

And that's what I created my program to solve.

It’s called The MEGSA Method. MEGSA stands for Most Efficient
Golf Swing Attainable…

… and it’s going to give you exactly that.

You know the key to being a great golfer, is accuracy and consistency.

You want to know when you're standing over the ball that you're
going to put it exactly where you want it, every time.

But accuracy is hard. And consistency is even harder.

That’s where my system comes in.

If you’ve ever wondered what about your game makes
consistency tougher than it needs to be, here's what I suggest...

Check out the history behind the MEGSA Method — the full
story behind this laser-accurate robot, Iron Byron, and my
incredible discovery about the physics of your swing.

Then head over here for the full details of MEGSA Method,
and see what all the fuss is about


… and hurry, because I’ll even show you how you can try my
system with no obligation.

To always lower scores,

Mike Bender
- 2009 PGA Teacher of the Year
- Golf Digest Top 5 Teacher
- Coach To More Than 20 PGA Pros
- Creator, The MEGSA Method



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